MIIS 2024
International Workshop On Mathematical Issues In Information Sciences
数据科学国际研讨会
20th-22nd December 2024
MIIS 2024
International Workshop On Mathematical Issues In Information Sciences
数据科学国际研讨会
Huawei Technologies Co., Ltd.
Dr. Bo Bai is a Senior Member of IEEE. He received his Ph.D. in Electronic Engineering from Tsinghua University in 2010. From 2010 to 2012, he conducted postdoctoral research at the Hong Kong University of Science and Technology. From 2012 to 2017, he was an Assistant Professor at the Department of Electronic Engineering, Tsinghua University. In 2017, he joined Huawei Technologies. He currently serves as the Director of Theory Lab and Chief Scientist of Information Theory at Huawei, leading a team focused on areas such as information theory, optimization & control theory, systems theory, computational mathematics, and data science. His team is building Huawei’s foundational theoretical research capabilities and core technologies, driving the application of key technologies to support the company's technological competitiveness. He has published over 150 high-level research papers and serves as an associate editor and reviewer for several IEEE and ACM journals. He has also served as a co-chair for various conferences' TPCs. He won the IEEE ICC 2016 Best Paper Award and other recognitions.
UC Berkeley
Ying Cui is currently an assistant professor in the Department of Industrial Engineering and Operations Research at the University of California, Berkeley. Prior to that, she was an assistant professor at the University of Minnesota. She worked as postdoc research associate in the Daniel J. Epstein Department of Industrial and Systems Engineering at the University of Southern California. Cui completed her PhD in Mathematics at the National University of Singapore. Her research focuses on the mathematical foundation of data science with emphasis on optimization techniques for operations research, machine learning and statistical estimations. She is particularly interested in leveraging nonsmoothness to design efficient algorithms for large scale nonlinear optimization problems. She is the co-author of the recently published monograph "Modern Nonconvex Nondifferenable Optimization".
Fudan University
Jianfeng Feng is the chair professor of Shanghai National Centre for Mathematic Sciences, the Dean of Brain-inspired AI Institute in Fudan University, and the dean of the School of Data Science. He has made considerable contributions on developing brain-inspired AI algorithms and applying them to tackle challenges raised in neuroscience and mental health with many publications in Cell, Nature Medicine, Nature Human Behaviour, Nature Aging, Nature Mental Health etc. He led a team to implement for the first time in the world the digital twin brain which has 86B neurons and 100T parameters. He was awarded the 2023 Humboldt Research Award, prestigious Royal Society Wolfson Research Merit Award, and invited to deliver 2019 Paykel Lecture at the Cambridge University.
Fudan University
Yue Gao is a Chair Professor and Dean of the Institute of Space Internet at Fudan University, China. He is a Fellow of the IEEE, the IET and CIC. He received his MSc and PhD from the Queen Mary University of London (QMUL) U.K. in 2003 and 2007. He worked as a faculty staff, professor and chair professor with QMUL and the University of Surrey in the U.K.. He was a co-recipient of the EU Horizon Prize Award on Collaborative Spectrum Sharing and elected an Engineering and Physical Sciences Research Council Fellow. He is a member of the Board of Governors and Distinguished Lecturer of the IEEE Vehicular Technology Society (VTS), Chair of the IEEE ComSoc Wireless Communication Technical Committee, and past Chair of the IEEE ComSoc Technical Committee on Cognitive Networks.
University of Chinese Academy of Sciences
Tiande Guo, Ph.D., Chair Professor，University of Chinese Academy of Sciences. The main research fields include optimization theory and algorithm, AI method for solving combinatorial optimization, biometric recognition, machine learning theory and application. In recent years, he has published over 100 papers. He has won IFORS prize for OR in development (runner up), and the first prize and the special prize of the education and teaching achievement award of the Chinese Academy of Sciences.
Shanghai Jiao Tong University
Shi Jin is the Director of Institute of Natural Sciences, and Chair Professor of Mathematics, at Shanghai Jiao Tong University. He also serves as a co-director of the Shanghai National Center for Applied Mathematics, director of Ministry of Education Key Lab on Scientific and Engineering Computing, and director of Shanghai Jiao Tong University Chongqing Artificial Intelligence Institute. He received a Feng Kang Prize of Scientific Computing in 2001., He is an inaugural Fellow of the American Mathematical Society (AMS) (2012), a Fellow of Society of Industrial and Applied Mathematics (SIAM) (2013), an inaugural Fellow of the Chinese Society of Industrial and Applied Mathematics (CSIAM) (2020), and an Invited Speaker at the International Congress of Mathematicians in 2018. In 2021 he was elected a Foreign Member of Academia Europaea and a Fellow of European Academy of Sciences. His research interests include kinetic theory, hyperbolic conservation laws, quantum dynamics, uncertainty quantification, interacting particle systems, computational fluid dynamics, machine learning and quantum computing, etc. He has published over 230 research papers.
Academy of Mathematics and System Science, Chinese Academy of Sciences
Ya-Feng Liu is an Associate Professor at the Academy of Mathematics and Systems Science, Chinese Academy of Sciences. His main research interests are nonlinear optimization and its applications to signal processing, wireless communications, and machine learning. Dr. Liu currently serves as an Associate Editor for the IEEE Transactions on Signal Processing and the Journal of Global Optimization. He served as an Editor for the IEEE Transactions on Wireless Communications (2019--2022), an Associate Editor for the IEEE Signal Processing Letters (2019--2023), and a Lead Guest Editor for the IEEE Journal on Selected Areas in Communications special issue on “Advanced Optimization Theory and Algorithms for Next-Generation Wireless Communication Networks”. He is an elected member of the Signal Processing for Communications and Networking Technical Committee (SPCOM-TC) of the IEEE Signal Processing Society (2020--2022 and 2023--2025). He has received the Best Paper Award from the IEEE International Conference on Communications (ICC) in 2011, the Science and Technology Award for Young Scholars from the Operations Research Society of China in 2018, the 15th IEEE ComSoc Asia-Pacific Outstanding Young Researcher Award in 2020, and the Youth Science Award of Applied Mathematics from the China Society for Industrial and Applied Mathematics in 2022. Students supervised and co-supervised by him won the Best Student Paper Award from the International Symposium on Modeling and Optimization in Mobile, Ad Hoc and Wireless Networks (WiOpt) in 2015 and the Best Student Paper Award of IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) in 2022.
China Mobile Communications Group Co.,Ltd
Na Li is currently the Technical Manager of 6G RAN Architecture and Protocol at China Mobile Research Institute. Since 2014, she has been involved in advanced technology research and international standardization work for 4G, 5G, and 6G. Her research interests include 6G service-oriented RAN, integration of communication, computation, and intelligence, air interface protocol design, etc.
Xi’an Jiaotong University
National Engineering Laboratory for Algorithm and Analysis Technologiy on Big Data
Meng Deyu, a professor and doctoral supervisor at Xi'an Jiaotong University, serves as the head of the Machine Learning Division in the National Engineering Laboratory for Big Data Analytics. He has published over 100 papers, with more than 32,000 citations on Google Scholar. Currently, he serves as an editorial board member for seven domestic and international journals, including IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI) and National Science Review (NSR). His primary research focuses on foundational topics in machine learning, including meta-learning, probabilistic machine learning, and interpretable deep neural networks.
University of Michigan
Qing Qu is an assistant professor in EECS department at the University of Michigan. Prior to that, he was a Moore-Sloan data science fellow at Center for Data Science, New York University, from 2018 to 2020. He received his Ph.D from Columbia University in Electrical Engineering in Oct. 2018. He received his B.Eng. from Tsinghua University in Jul. 2011, and a M.Sc.from the Johns Hopkins University in Dec. 2012, both in Electrical and Computer Engineering. His research interest lies at the intersection of foundation of data science, machine learning, numerical optimization, and signal/image processing. His current research interse focus on deep representation learning and diffusion models. He is the recipient of Best Student Paper Award at SPARS’15, and the recipient of Microsoft PhD Fellowship in machine learning in 2016, and best paper awards in NeurIPS Diffusion Model Workshop in 2023. He received the NSF Career Award in 2022, and Amazon Research Award (AWS AI) in 2023. He is the program chair of the new Conference on Parsimony & Learning, area chairs of NeurIPS and ICLR.
Singapore University of Technology and Design
Tony Q.S. Quek received the B.E. and M.E. degrees in Electrical and Electronics Engineering from Tokyo Institute of Technology, respectively. At Massachusetts Institute of Technology, he earned the Ph.D. in Electrical Engineering and Computer Science. Currently, he is the Cheng Tsang Man Chair Professor with Singapore University of Technology and Design (SUTD) and ST Engineering Distinguished Professor. He also serves as the Director of the Future Communications R&D Programme, the Head of ISTD Pillar, and the AI-on-RAN Working Group Chair in AI-RAN Alliance. His current research topics include wireless communications and networking, network intelligence, non-terrestrial networks, open radio access network, and 6G.
Dr. Quek is currently serving as an Area Editor for the IEEE Transactions on Wireless Communications. He received the 2008 Philip Yeo Prize for Outstanding Achievement in Research, the 2012 IEEE William R. Bennett Prize, the 2016 IEEE Signal Processing Society Young Author Best Paper Award, the 2017 CTTC Early Achievement Award, the 2017 IEEE ComSoc AP Outstanding Paper Award, the 2020 IEEE Communications Society Young Author Best Paper Award, the 2020 IEEE Stephen O. Rice Prize, the 2020 Nokia Visiting Professorship, the 2022 IEEE Signal Processing Society Best Paper Award, and the 2024 IIT Bombay International Award For Excellence in Research in Engineering and Technology. He is an IEEE Fellow, a WWRF Fellow, and a Fellow of the Academy of Engineering Singapore.
Southeast University
Cheng-Xiang Wang received the B.Sc. and M.Eng. degrees in communication and information systems from Shandong University, China, in 1997 and 2000, respectively, and the Ph.D. degree in wireless communications from Aalborg University, Denmark, in 2004.
He has been with Southeast University, Nanjing, China, as a Professor since 2018, and he is now the Executive Dean of the School of Information Science and Engineering. He is also a Professor with Purple Mountain Laboratories, Nanjing, China. He was with Heriot-Watt University, Edinburgh, U.K., from 2005 to 2018, where he was promoted to a Professor in 2011. He has authored 4 books and over 610 papers in refereed journals and conference proceedings, including 28 highly cited papers. He has also delivered 32 invited keynote speeches and 21 tutorials in international conferences. His current research interests include wireless channel measurements and modeling, 6G/B6G information networks, and electromagnetic information theory.
Prof. Wang is a Member of the Academia Europaea (The Academy of Europe), a Member of the European Academy of Sciences and Arts (EASA), a Fellow of the Royal Society of Edinburgh (FRSE), IEEE, and IET, and a Highly-Cited Researcher recognized by Clarivate Analytics. He is currently an Executive Editorial Committee Member of the IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS. He has served as a TPC Chair and General Chair for more than 30 international conferences. He received the IEEE Neal Shepherd Memorial Best Propagation Paper Award in 2024 and 19 Best Paper Awards from international conferences.
Beijing International Center for Mathematical Research, Peking University
Zaiwen Wen is a Boya Distinguished Professor at the Beijing International Center for Mathematical Research, Peking University. He mainly studies large scale computational optimization, and has developed software including LMaFit, LMSVD, OptM, ARNT, Arrabit, MCPG. His algorithms have solved industrial challenges from scheduling and wireless communication. He was awarded the China Youth Science and Technology Award in 2016, recognized as a leading talent in scientific and technological innovation under the National Ten Thousand Talents Program in 2020, and selected as a Changjiang Distinguished Professor by the Ministry of Education in 2024. He serves as an associate editor for JSC, JORSC, JCM, CSIAM-AM and a technical editor of MPC, and vice president of ORSC.
Beijing Institute of Technology
Chengwen Xing is a Distinguished Professor and PhD Supervisor at Beijing Institute of Technology, and a recipient of the National Outstanding Young Scientist Fund. He has published more than 180 papers, one monograph, one translation, and more than 30 patents. He has been in charge of a series of research projects of the National Natural Science Foundation of China including Jieqing, Youqing, Key Fund, and National Key Research and Development Program. He was awarded the second prize of National Technical Invention, the first prize of Technical Invention of China Communication Society, the second prize of Natural Science of China Communication Society, the second prize of Natural Science of China Electronics Society, the second prize of National Teaching Achievements of Higher Education, and the national champion instructor of Internet+ Competition. His research interests include signal processing of air-space communication arrays.
Beijing International Center for Mathematical Research, Peking University
Lei Zhang is Boya Distinguished Professor at Beijing International Center for Mathematical Research, Peking University. He is also a Principal Investigator at Center for Quantitative Biology and Center for Machine Learning Research. He obtained his Ph.D in Mathematics at Penn State University in 2009. His research is in the area of computational and applied mathematics and interdisciplinary science in biology, materials, and machine learning. He has published the papers in Phys. Rev. Lett., PNAS, Acta Numerica, Science journals, Cell journals, SIAM journals. He was awarded/funded by NSFC Innovation Research Group, NSFC Outstanding Youth Award, National Key Research and Development Program of China, NSFC Excellent Youth Award, Royal Society Newton Advanced Fellowship, etc. He serves as an Associate Editor for SIAM J. Appl. Math, Science China Mathematics, CSIAM Trans. Appl. Math, DCDS-B, The Innovation, etc.
Shenzhen Research Institute of Big Data
Dr. Tian Ding is currently a research scientist in Shenzhen International Center for Industrial and Applied Mathematics (SICIAM) and Shenzhen Research Institute of Big Data (SRIBD). He received his bachelor’s degree in Automation from Tsinghua University (2014) and Ph.D. in Information Engineering from the Chinese University of Hong Kong (2019). His major research interests include large foundation models, deep learning theory, and AI for operations research. Dr. Ding was a researcher at the Theory Lab of Huawei Central Research Institute from 2019 to 2023. He has received the Huawei President Commendation of Wireless Network in 2020, 2021, and 2022. He has also won the "Innovation Pioneer" award three times at the Huawei Central Research Institute.
Shenzhen Research Institute of Big Data
Wenqiang Pu received his B.S. and Ph.D. degrees in Electrical Engineering from Xidian University, Xi’an, China, in 2013 and 2018, respectively. He served as a Postdoctoral Fellow at the School of Science and Engineering (SSE), The Chinese University of Hong Kong-Shenzhen (CUHKSZ) from January 2019 to October 2020. He is currently a Research Scientist at the Shenzhen Research Institute of Big Data and holds an Adjunct Assistant Professor position at CUHKSZ. He co-authored a paper that won the Best Student Paper Award at IEEE SAM 2024. He is also an Associate Editor for the IEEE Signal Processing Letters. His research focuses on signal processing and optimization algorithms.
Shenzhen Research Institute of Big Data
Dr. Akang Wang is a research scientist at the Shenzhen Research Institute of Big Data, where he has been working since 2021. He earned his Ph.D. in Process Systems Engineering from Carnegie Mellon University in 2020. His research focuses on integer programming, learning-based optimization, and grid optimization, and his work is supported the National Natural Science Foundation of China (NSFC), the Guangdong Basic and Applied Basic Research Foundation, the Shenzhen Science and Technology Program, and the National Key R&D Program of China. Dr. Wang has contributed to leading journals and conferences such as EJOR, ICLR, ICML, and NeurIPS. His achievements include securing first place in the primal track of the NeurIPS 2021 ML2CO competition and second place in the 2022 RAS Problem Solving Competition of INFORMS. In addition to his research, Dr. Wang serves as a reviewer for top journals and conferences, including NeurIPS, ICLR, and MPC.
Shenzhen Research Institute of Big Data
Guangxu Zhu received the Ph.D. degree in electrical and electronic engineering from The University of Hong Kong in 2019. Currently he is a senior research scientist and deputy director of network system optimization center at the Shenzhen Research Institute of Big Data, and an adjunct associate professor with the School of Science and Engineering, The Chinese University of Hong Kong, Shenzhen. His recent research interests include edge intelligence, semantic communications, and integrated sensing and communication. He is a recipient of the 2023 IEEE ComSoc Asia-Pacific Best Young Researcher Award and Outstanding Paper Award, the World's Top 2% Scientists by Stanford University, the First Prize of Natural Science Award of China Communication Society, the Second Prize of Natural Science Award of Zhejiang Province, the Outstanding Young Talent in Guangdong Province, the AI 2000 Most Influential Scholar Award Honorable Mention, the Young Scientist Award from UCOM 2023, the Best Paper Award from WCSP 2013 and IEEE JSnC 2024. He serve as associated editors at top-tier journal in ComSoc, including IEEE TWC and IEEE WCL, and symposium/workshop co-chairs of several IEEE major conferences including IEEE PIMRC 2021, WCSP 2023, IEEE Globecom 2023, VTC-fall 2023, ICASSP 2024, and WCNC 2024. He is the vice co-chair of the IEEE ComSoc Asia-Pacific Board Young Professionals Committee.
